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Over the past two decades, in developed countries a trend towards the liberalization and restructuring of the gas market has been observed. Today, restructuring is an ongoing process. In this study, a restructured natural gas market has been considered in which several regional distribution companies have ownership of the network and are competing against each other to gain more benefits. The main purpose of this study is to achieve efficiency and economic rationality in such a market through horizontal cooperation.

A restructured natural gas distribution network is modeled as a cooperative game to estimate the potential cost savings for various collaboration scenarios. In addition, the cost savings’ allocation among collaborating companies is evaluated using the cooperative game theory.

The results reveal validity and efficiency of the solution of the proposed model and capabilities of the cooperative game theory for reduction in gas distribution costs and improvement in the service level.

This study is limited to natural gas in one region of Yazd City in Iran. Moreover, one segment of the natural gas network (i.e. distribution network) is modeled. Moreover, long-term cooperation between companies relies on fair distribution of cooperation benefits to the participants.

For the purpose of comparison and to get an insight into properties of the cost savings game, the real case study of one region of Yazd city in Iran is implemented.

This study contributes to the competitive models in the restructured gas market, particularly, in gas distribution network. The main contribution is to provide potential benefits for the participants via the horizontal cooperation.

Integrated project delivery (IPD) is highly recommended to be utilised with building information management (BIM), specifically with BIM level-3 implementation process. Extant literature highlights the financial management challenges facing the proposed integration. These challenges are mainly related to the IPD compensation and the conventional cost control approaches that are not consistent with IPD principles. As such, this paper presents an integration of several methods to support automating risk/reward sharing amongst project parties thus enhancing IPD core team members’ relationship.

The literature review was used to highlight the challenges that face the IPD-based cost management practices such as the risk sharing/reward sharing amongst IPD core team members and potential methods to bridge the revealed IPD gap. A framework was developed by integrating the activity-based costing (ABC) – as a method to analyse the cost structure – and earned value management (EVM) to develop mathematical models that can determine the three main IPD financial transactions (i.e. …) fairly. To demonstrate the applicability of the developed system, a real-life case study was used, in which, promising results were collected in regard to visualising the cost control data and understanding of the accumulative status of the project cost and schedule for team members.

A centralised cost management system (CCMS) for IPD is developed to enable the IPD cost structure as well as automating the risk-sharing/reward-sharing calculations. This system is linked with a web-based management system to display the output of proposed risk-sharing/reward-sharing models. Moreover, a novel grid is developed to show the project status graphically and to respect the diversity in core team members backgrounds. In addition, the case study showed that the proposed integration of different methods (ABC, EVM, BIM and web-based management system) is interoperable and applicable.

This research presents a comprehensive solution to the most revealed challenges in cost management practices in IPD implementation. The outcome of this research contributes to the body of knowledge through presenting new extensions of the EVM to be used with the IPD approach to calculate risk/reward. Moreover, the implementation of the proposed tools such as centralised cost management system (CCMS) and CCMS for IPD web system will enhance/foster the implementation of the IPD in conjunction with BIM process.

A new financial asset (Allotment Trading Unit or ATU) that allows a firm to pollute was issued to a number of Chicago firms in 2000 as part of a cap‐and‐trade model to reduce emissions in the Chicago area. A model of this market was developed to enable us to: 1.) Estimate equilibrium tradable credit prices and quantities and calculate compliance costs for comparison with traditional environmental regulation; 2.) Estimate the consequences for prices and quantities of introducing changing emitter costs; and 3.) Estimate the impacts on prices and quantities of changing market features such as auctioning tradable credits instead of a free allocation, introducing spatial constraints, and changing the emissions cap. The model's results on the price determination of this new financial asset are of interest to accountants and financial analysts. A dated bankable ATU credit has a one‐year life expectancy, but future tradable credits can be bought or sold for use at the appropriate future date. It is an intangible asset that should be disclosed, measured and valued. The valuation to place on this asset is an important research topic in finance and accounting and various valuation approaches are discussed to handle the short‐term and long‐term price paths.

Maximum-flow of an uncertain multi-owner network has become very important recently. This study aims to evaluate the maximum flow on a cooperated logistic system in the presence of uncertainties, raised by travel time, capacity, cost and failures.

To consider different uncertainties and to promote network efficiency, the proposed model is enriched with a cooperative game methodology and a reliability method. A scenario-based method covers optimistic, pessimistic and most likely estimates time, cost and capacity of each route as well as applies a prior failure pattern for breakdown of any resource.

A linear optimization model, which is enriched with target reliability estimation, is presented. Results on a water distribution network indicate more revenue performance for players. Carrying out sensitivity analysis shows the importance of the model parameters.

Modeling maximum-flow problem in the presence of many sources of uncertainty with the aim of a cooperative game is the main contribution of the present study. Also, a novel method based on the reliability theory is applied to close the chasm on evaluating the real maximum flow in a shared decentralized network which suffers from risky conditions on arcs and nodes.

This chapter considers time-differentiated airport noise surcharges that occur in addition to general noise fees at an airport. In practice, an essential problem of such surcharges may consist of setting the price for a social policy goal, such as airport noise reduction, by shifting a number of critical flights away from sensitive times-of-day in the presence of an additional, competing economic policy goal in terms of fostering the network hub function and connectivity of that airport. In such a case, additional noise surcharges aim at balancing the socioeconomic noise costs against economic prosperity, to achieve a net benefit for society by inducing a particular airline scheduling behavior, such as shifting non-hub-relevant flights only. As a result, they differ from the well-known economic concepts for the internalization of externalities. We address this problem by offering a shift from an economic welfare view to a business administration perspective with the airlines as stakeholders, in order to describe the different rationales that need to be accounted for when searching for a pricing scheme that achieves one of the distinct steering effects in terms of airline scheduling behavior. In addition, we offer a tentative, generic guideline to determine the appropriate dimension of time-differentiated noise surcharges depending on the steering effect.

Amidst the complicated nature of the UAE’s facilities management (FM) industry, the need to recalibrate the existing performance measurement (PM) system measures and criteria has been resonating to ensure their ability to capture the FM industry trends and dynamics, thus enhancing organizational excellence. Therefore, this research aimed to propose a specific PM tool to the country’s FM industry to accurately assess performance and establish strategic enhancements.

The study reviewed literature on the available PM systems to gather the available measures, which were presented to a focus group of seven participants, who were purposively selected based on their expertise in FM and PM implementation in the UAE to adjust them and add ones relevant to the UAE’s FM industry.

The focus group conducted various changes, from retaining certain measures and criteria, renaming them to simplify or make them more representative of the industry, ranking them based on their importance to limit their numbers, to finally categorizing them as enablers or results. Consequently, the final proposed tool was composed of nine dimensions with 51 measures as performance enablers and three dimensions with 11 measures as performance results. Seven measures were added by the experts, who highlighted their increasing popularity in the UAE’s FM industry.

Through addressing the critical void in literature, this paper develops a specific PM tool aligning with the intricacy of the UAE’s FM industry, thus providing proactive contribution to the industry’s effective and sustainable growth.

Resource allocation has always been a critical problem with significant economic relevance. Many industries allocate the resources based on classical methods such as overall equipment effectiveness (OEE) and data envelopment analysis (DEA). The lack of OEE factors’ weight, how it is defined, analyzed, interpreted and compared in OEE and selection of unrealistic weights, self-appraisal and disability of complete ranking in DEA are challenges that are possible to occur. These defects may result in unfair allocation of the resources. This study aims to overcome the mentioned weaknesses.

In this paper, an approach using a set of various DEA models and Nash bargaining solution (NBS) is designed to solve the resource allocation problem based on OEE, among a set of comparable and uniform DMUs (decision-making units) in a fair way.

The results show that a unique Pareto optimal allocation solution is obtained by the proposed DEA–NBS model among the DMUs. This allocation is more acceptable for players, because the allocation results are commonly determined by all DMUs rather than a specific one. Furthermore, the rankings achieved by the utilized methods and TOPSIS (technique for order preference by similarity to ideal solution) are compared by Spearman’s rank correlation coefficient to validate the resource allocation plan. The findings indicate that the DEA–NBS method has the best correlation with the TOPSIS approach.

To the best of authors’ knowledge, no research has considered the use of DEA and NBS with OEE.

This article aims to establish a dynamic Energy Performance Contract (EPC) risk allocation model for commercial buildings based on the theory of Incomplete Contract. The purpose is to fill the policy vacuum and allow stakeholders to manage risks in energy conservation management by EPCs to better adapt to climate change in the building sector.

The article chooses a qualitative research approach to depict the whole risk allocation picture of EPC projects and establish a dynamic EPC risk allocation model for commercial buildings in China. It starts with a comprehensive literature review on risks of EPCs. By modifying the theory of Incomplete Contract and adopting the so-called bow-tie model, a theoretical EPC risk allocation model is developed and verified by interview results. By discussing its application in the commercial building sector in China, an operational EPC three-stage risk allocation model is developed.

This study points out the contract incompleteness of the risk allocation for EPC projects and offered an operational method to guide practice. The reasonable risk allocation between building owners and Energy Service Companies can realize their bilateral targets on commercial building energy-saving benefits, which makes EPC more attractive for energy conservation.

Existing research focused mainly on static risk allocation. Less research was directed to the phased and dynamic risk allocation. This study developed a theoretical three-stage EPC risk allocation model, which provided the theoretical support for dynamic EPC risk allocation of EPC projects. By addressing the contract incompleteness of the risk allocation, an operational method is developed. This is a new approach to allocate risks for EPC projects in a dynamic and staged way.